Komstat 3

library(ggplot2)
library(reshape2)

## Warning: package 'reshape2' was built under R version 4.5.3

data <- datasets::mtcars
data_mtcars <- data[, c("mpg", "disp", "hp", "wt", "qsec")]

#Matriks Korelasi
cor_mtcars <- cor(data_mtcars)
cor_mtcars

##             mpg       disp         hp         wt       qsec
## mpg   1.0000000 -0.8475514 -0.7761684 -0.8676594  0.4186840
## disp -0.8475514  1.0000000  0.7909486  0.8879799 -0.4336979
## hp   -0.7761684  0.7909486  1.0000000  0.6587479 -0.7082234
## wt   -0.8676594  0.8879799  0.6587479  1.0000000 -0.1747159
## qsec  0.4186840 -0.4336979 -0.7082234 -0.1747159  1.0000000

#Heatmap
data_cor <- melt (cor_mtcars)
ggplot (data_cor, aes(Var1, Var2, fill = value)) +
  geom_tile(color = "black") +
  geom_text(aes(label = round(value, 2)), color = "black")+
  scale_fill_gradient2(low = "red", high = "green", mid = "yellow",
  midpoint = 0, limit = c(-1,1),name = "korelasi") +
  theme_minimal ()+
  labs (title = "Heatmap Dataset mtcars",
        x = "Variabel 1", y = "Variabel 2") +
  theme(plot.title = element_text(hjust = 0.5),
        axis.text.x = element_text(hjust = 0.5))

bern <- function (x,p) {p^x*(1-p)^(1-x)}
bern (1,3/6)

## [1] 0.5

cmfbinom <- function(k, n, p) {
  #Validasi Input
  if (k < 0 || n < 0 || p < 0 || p > 1) {
stop ("Input Tidak Valid")
}
#Inisialisasi CMF
cmf <- 0
#Menghitung CMF
for (x in 0:k) {
  prob <- choose(n, x) * (p^x) * ((1-p)^(n-x))
  cmf <- cmf + prob
}
return (cmf)
}
#Peluang paling sedikit 2 orang sembuh = 1-p(X <= 1)
Peluang = 1 - cmfbinom(1, 12, 0.2)
Peluang

## [1] 0.7251221

cmfpois <- function(x, lambda) {   
if (lambda <= 0) { 
  stop("Lambda Harus Bernilai > 0") 
} 
  if (x < 0) {     
    return(0) 
  }      
  cmf <- 0   
  for (k in 0:x) { 
    cmf <- cmf + (exp(-lambda) * (lambda^k) / factorial(k)) 
  } 
  return(cmf) 
} 
Peluang2 <- cmfpois(10, 2) - cmfpois(0, 2) 
Peluang2

## [1] 0.8646564

geo <- function (x,p) {p*(1 - p)^ (x - 1)}
geo (5, 0.3)

## [1] 0.07203

#CONSOL 6 DIST. HYPERGEOMETRIK
hyper <- function(x, N, n, k) {
  ((choose(k, x) * choose(N-k, n-x)) / choose(N, n))
}

hyper(2, 100, 10, 5)

## [1] 0.07021881